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What is Cumulative Spatial Knowledge Distillation about?

The document presents Cumulative Spatial Knowledge Distillation (CSKD) for Vision Transformers (ViTs), addressing inefficiencies in knowledge transfer from Convolutional Neural Networks (CNNs). CSKD utilizes spatial-wise knowledge without intermediate features and incorporates a Cumulative Knowledge Fusion module to balance local and global responses during training. Extensive experiments demonstrate the effectiveness of CSKD in improving ViT performance on vision tasks.

Author

areswz1222

Language

EN